Obfuscated Image Data Extraction via Contextual Deobfuscation
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Solution Overview
Problem
Malicious users obfuscate information in images to evade detection, making it difficult for electronic service providers to extract relevant data for enhancing security measures, despite advanced security measures in place.
Innovation Solution
An information extraction engine processes images to segment, recognize, and restore obfuscated data using context and metadata, applying appropriate deobfuscation algorithms to extract useful information, which is then used to adjust security configurations and improve risk assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If malicious users obfuscate information in images by blurring, scratching, and masking, then the difficulty of detecting and measuring information increases, but the ability to extract useful data for security enhancement deteriorates
Solution Approach 1:
The patent converts the harmful obfuscation applied by attackers into a beneficial feature by training machine learning models to recognize patterns in obfuscated text. The system learns to identify blurred, scratched, and masked regions and reconstruct the underlying information, transforming the attacker's protective measure into a detectable pattern that reveals rather than hides the malicious content.
Solution Approach 2:
The patent introduces an intermediary layer of image processing and machine learning analysis between the obfuscated image and the information extraction process. This intermediary system includes convolutional neural networks and recurrent neural networks that act as mediators to decode the obfuscated information by learning the statistical patterns of obscured text and reconstructing the original content.
2Ease of operation
If text-based communication is used for attack proof, then the ease of searching, intercepting, and deciphering improves, but the security of the communication deteriorates
Solution Approach 1:
The patent replaces traditional text-based communication with image-based communication, substituting the mechanical system of text processing with an optical/image processing system. By converting text into visual representations that can be obfuscated through image manipulation techniques, the system achieves better security while maintaining searchability and decipherability through specialized image analysis algorithms.
Data Source
AI summary
Images related to one or more attacks to a service provider system may be analyzed to improve the security of the service provider system. Each of the images may be segmented into multiple segments. Each of the segments is analyzed independently to determine whether the segment includes obfuscated data and if so, which one of the data obfuscation techniques was used to generate the obfuscated data. Additional information regarding the obfuscated data may be derived from other segments that include unobfuscated data and from the metadata of the image. A data restoration algorithm may be configured accordingly to restore the obfuscated data. The restored data, as well as a context derived for the image, may be used to adjust one or more security parameters of the service provider system to improve the security of the service provider system.